Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record

Jason L. Roberts, Lenneke M. Jong, Felicity S. McCormack, Mark A. Curran, Andrew D. Moy, David M. Etheridge, Jamin S. Greenbaum, Duncan A. Young, Steven J. Phipps, Wenyue Xue, Tas D. van Ommen, Donald D. Blankenship, Martin J. Siegert

Research output: Contribution to journalArticleResearchpeer-review

Abstract

We present a new simple and efficient method for correlation of unevenly and differently sampled data. This new method overcomes problems with other methods for correlation with non-uniform sampling and is an easy modification to existing correlation based codes. To demonstrate the usefulness of this new method to real-world examples, we apply the method with good success to two glaciological examples to map the ages from a well-dated ice core to a nearby core, and by tracing isochronous layers within the ice sheet measured from ice-penetrating radar between the two ice core sites.

Original languageEnglish
Article number17477
Number of pages10
JournalScientific Reports
Volume10
Issue number1
DOIs
Publication statusPublished - 15 Oct 2020

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